Dataset File
Description
"Set intended to study variable resource demand influence. It is equilibrated on morphologic indicators, and it have enough instances to allow obtain solid conclusions. See paper: Vanhoucke, Mario, Coelho, Jose. 2018. A tool to test and validate algorithms for the resource-constrained project scheduling problem, Computers & Industrial Engineering 118, 1: 251 - 265."
Number of instances
540000
Format
rcp+res
Statistics
Set statistics:
Number of instances: 540
- Solved (exact proc.): 364 (67.41%)
- Closed (LB=UB): 540 (100.00%)
- Open (LB<UB): 0 (0.00%)
Average deviation over CPM:
- Lower bound: 91.88%
- Upper bound: 91.88%
Sum of lower bounds: 66226
Sum of upper bounds: 66226
Open time units: 0 (0.00%)
Avg CPU lower bounds: 0.008s (max 0.390s)
Avg CPU upper bounds: 0.008s (max 0.390s)
Avg CPU optimal sol.: 0.008s (max 0.390s)
Reference 1:
- Lower bounds: 305 (56.48%)
- Upper bounds: 364 (67.41%)
- Optimal solutions: 364 (67.41%)
Reference 2:
- Lower bounds: 176 (32.59%)
Number of instances: 540
- Solved (exact proc.): 364 (67.41%)
- Closed (LB=UB): 540 (100.00%)
- Open (LB<UB): 0 (0.00%)
Average deviation over CPM:
- Lower bound: 91.88%
- Upper bound: 91.88%
Sum of lower bounds: 66226
Sum of upper bounds: 66226
Open time units: 0 (0.00%)
Avg CPU lower bounds: 0.008s (max 0.390s)
Avg CPU upper bounds: 0.008s (max 0.390s)
Avg CPU optimal sol.: 0.008s (max 0.390s)
Reference 1:
- Lower bounds: 305 (56.48%)
- Upper bounds: 364 (67.41%)
- Optimal solutions: 364 (67.41%)
Reference 2:
- Lower bounds: 176 (32.59%)
RecordSets
Record sets:
ID;1
Author(s); Demeulemeester, E. and Herroelen, W.
Reference; Demeulemeester, E. and Herroelen, W. (1992). A branch-and-bound procedure for the multiple resource-constrained project scheduling problem. Management Science, 38:1803-1818.
Date; 1992/01/01
Hardware / software; Stevin Supercomputer Infrastructure, C++, compiler intel/2017.02, Linux
Stop criteria; 1 second(s)
Submission date; 2017/5/26
ID;2
Author(s); Klein, R. and Scholl, A.
Reference;Klein, R. and Scholl, A. (1999). Computing lower bounds by destructive improvement: An application to resource-constrained project scheduling. European Journal of Operational Research, 112:322?346
Date; 1999/01/01
Hardware / software; i7, 16GB, 2GHz, C++, Visual Studio 2015 (x64), Windows 10
Stop criteria;none
Submission date; 2016/01/01
ID;1
Author(s); Demeulemeester, E. and Herroelen, W.
Reference; Demeulemeester, E. and Herroelen, W. (1992). A branch-and-bound procedure for the multiple resource-constrained project scheduling problem. Management Science, 38:1803-1818.
Date; 1992/01/01
Hardware / software; Stevin Supercomputer Infrastructure, C++, compiler intel/2017.02, Linux
Stop criteria; 1 second(s)
Submission date; 2017/5/26
ID;2
Author(s); Klein, R. and Scholl, A.
Reference;Klein, R. and Scholl, A. (1999). Computing lower bounds by destructive improvement: An application to resource-constrained project scheduling. European Journal of Operational Research, 112:322?346
Date; 1999/01/01
Hardware / software; i7, 16GB, 2GHz, C++, Visual Studio 2015 (x64), Windows 10
Stop criteria;none
Submission date; 2016/01/01
Relevant Results
Best Known Solutions
Original Instances
File Header
Title;Morphology VAR indicator
Description;"Set intended to study variable resource demand influence. It is equilibrated on morphologic indicators, and it have enough instances to allow obtain solid conclusions. See paper: Vanhoucke, Mario, Coelho, Jose. 2018. A tool to test and validate algorithms for the resource-constrained project scheduling problem, Computers & Industrial Engineering 118, 1: 251 - 265."
Number;540000
Format;rcp+res
Description;"Set intended to study variable resource demand influence. It is equilibrated on morphologic indicators, and it have enough instances to allow obtain solid conclusions. See paper: Vanhoucke, Mario, Coelho, Jose. 2018. A tool to test and validate algorithms for the resource-constrained project scheduling problem, Computers & Industrial Engineering 118, 1: 251 - 265."
Number;540000
Format;rcp+res
Date